Jacqueline M. Achkar
- Infectious Diseases top 1%
- Epidemiology top 2%
- Immunology top 5%
- Molecular Biology
- Surgery top 10%
- Co-authors
- Bettina C. FriesArturo CasadevallJohn ChanRafael Prados‐RosalesUlrich E. SchaibleW. Henry BoomVictoria KasprowiczYong Chen
- Topics
- Tuberculosis Research and Epidemiology (35 papers)Mycobacterium research and diagnosis (26 papers)Immunodeficiency and Autoimmune Disorders (9 papers)
- Journals
- Proceedings of the National Academy of SciencesJournal of Clinical InvestigationThe Journal of Immunology
- Partner nations
- United StatesSouth AfricaCanada
In The Last Decade
Jacqueline M. Achkar
55 papers receiving 2.2k citations
Hit Papers
Peers
Comparison fields: 5 of 117
- Infectious Diseases 1.6k
- Epidemiology 1.1k
- Immunology 588
- Molecular Biology 476
- Surgery 333
Countries citing papers authored by Jacqueline M. Achkar
This map shows the geographic impact of Jacqueline M. Achkar's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Jacqueline M. Achkar with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jacqueline M. Achkar more than expected).
Fields of papers citing papers by Jacqueline M. Achkar
This network shows the impact of papers produced by Jacqueline M. Achkar. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Jacqueline M. Achkar. The network helps show where Jacqueline M. Achkar may publish in the future.
Co-authorship network of co-authors of Jacqueline M. Achkar
This figure shows the co-authorship network connecting the top 25 collaborators of Jacqueline M. Achkar. A scholar is included among the top collaborators of Jacqueline M. Achkar based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Jacqueline M. Achkar. Jacqueline M. Achkar is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 6 | |
| 2 | 5 | |
| 3 | 13 | |
| 4 | 18 | |
| 5 | 11 | |
| 6 | 15 | |
| 7 | 89 | |
| 8 | 3 | |
| 9 | 22 | |
| 10 | 108 | |
| 11 | 19 | |
| 12 | 37 | |
| 13 | 146 | |
| 14 | 11 | |
| 15 | 59 | |
| 16 | 11 | |
| 17 | 43 | |
| 18 | 40 | |
| 19 | 38 | |
| 20 | 6 |
About Jacqueline M. Achkar
Jacqueline M. Achkar is a scholar working on Infectious Diseases, Virology and Epidemiology, having authored 56 papers that have together received 2.2k indexed citations. Recurring topics across this work include Tuberculosis Research and Epidemiology (35 papers), Mycobacterium research and diagnosis (26 papers) and Immunodeficiency and Autoimmune Disorders (9 papers). The work is most often cited by research in Infectious Diseases (1.6k citations), Microbiology (262 citations) and Epidemiology (1.1k citations). Jacqueline M. Achkar has collaborated with scholars based in United States, South Africa and Canada. Frequent co-authors include Bettina C. Fries, Arturo Casadevall, John Chan, Rafael Prados‐Rosales, Ulrich E. Schaible, W. Henry Boom, Victoria Kasprowicz, Yong Chen, JoAnne L. Flynn and Sushma Bharrhan. Their work appears in journals such as Proceedings of the National Academy of Sciences, Journal of Clinical Investigation and The Journal of Immunology.
Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.